Maruti Techlabs

In the advertising world, managing ad campaigns across various channels was cumbersome and mostly manual. Our client, Buzzz Media, came up with the idea of building an automated media management SaaS platform for end-to-end management of advertisements.

They hired freelancers to get started with product development. But the project was deserted as soon as it began due to a conflict of interest between the founders and developers.

Our developers stepped in at the right moment and helped Buzzz Media see the product to the finish line. Check out how we picked up a half-baked product with broken lines of code and turned it into a functional one - ready to go live.

>>> Read the full ungated case study here - https://marutitech.com/case-study/media-management-saas-product-development/

Our client is a leading Business Intelligence (BI) platform that helps companies track, visualize, and manage their data. Based out of Berlin, they help their clients understand their businesses and drive growth by uncovering insights hidden in their data.

As our client’s data analytics and business intelligence platform expanded in terms of popularity and user base, underlying unoptimized code and legacy features brought the platform’s inefficiencies and poor performance to the surface.

The client realized that the platform’s inefficiencies were causing users to drop out sooner, negatively affecting customer journey and business performance. Structural improvements, expediting platform speed, redesigning the pages, and creating streamlined workflows were some of the heavy-duty tasks that the founders of our client outlined to improve their platform.

The collaboration between Maruti Techlabs and our client helped bring to life what the client had envisioned for the product. Structural improvements, redesigning legacy features, and compatibility enhancements not only greatly improved the user experience of the product but also set a strong foundation for the new features and the future product roadmap.

Our developers complemented the client’s existing team exceptionally well. The client had total control over the extended team’s workflow and task allocation. Speedy onboarding and direct communication propelled agility, level of engagement, and ease of collaboration.

Maruti Techlabs continues to work with this client as their software product development team. The partnership has been going strong for a year now, and we hope our client continues to grow and scale greater heights.

>>> Read the full ungated case study here - https://marutitech.com/case-study/product-development-of-bi-platform/

The client has a SaaS platform that provides AI-based analytics to identify sales opportunities for industrial OEMs (Original Equipment Manufacturers). They empower partner OEMs to have a consolidated and transparent view of their installed bases.

Maruti Techlabs was roped in to help them build the mobile app, which would form a key part of their service offering. We set out to build a responsive UX in order to facilitate real-time updates & faster CX. As a result - 

• -  Due to the contractors receiving instant push notifications, the number of missed requests for reinstallations and replacements has been reduced to zero.
• -  The app has a minimalistic and simple design so that it is easy to use and convenient.
• -  With a dedicated team to the project, we provided a faster pace of development as the in-house team lacked time and expertise.
• -  Real-time updates from multiple ERPs and CRMs are consolidated on the dashboard in one place.
• -  OEM partners of the client are now always on top of the developments on the installed bases.
• -  The client has reported an overall improvement in customer service due to transparency in data.

>>> Read the full ungated case study here - https://marutitech.com/case-study/frontend-development-of-manufacturing-analytics-tool/

Our client is one of the largest healthcare service providers in the UK. They manage thousands of hospitals and care units providing healthcare to the people of the UK. Apart from multispeciality hospitals, diagnostic clinics, and pharmacies are also managed by our client. They make healthcare services more efficient and accessible. 

Our client is responsible for the smooth working and data management of thousands of hospitals and clinics across the UK. 

The doctors working at these hospitals and clinics would generate hundreds and thousands of discharge, referral, and follow-up letters daily for patients across each medical facility. 

To maintain patient records, data teams of our client would have to manually assess, classify, and update the data from these diagnosis letters into specific categories of:

• Discharge 
• Follow-ups 
• Referrals 

Due to the high volume of letters, a sizable team was deployed to analyze these letters and manually classify them into the central Hospital Information Management System (HIMS) of our client. Manually feeding and categorizing the data into the systems was time-consuming and resource-expensive. It also had a high chance of errors/discrepancies. 

Looking at the massive volume of letters to be read and manually classified, Maruti Techlabs designed a machine-learning model that would automatically extract the data from the letters and classify them into the 3 set categories without any human intervention.

Initially, the confidence score was 80% at the time of model deployment. It was then followed by 85% with over 6 months of supervised training. 

Check how implementing the machine learning model helped our client get a 93% increase in patient data management accuracy in detail:

>>> Read the full ungated case study here - https://marutitech.com/case-study/medical-record-processing-using-nlp/

Our client is an online platform for photographers and artists to find out where and how their images are being used online. Our client enables artists to find and resolve cases of unauthorized usage of their images.

With the internet and the overall accessibility it provides, image theft has increased exponentially over the years. Whether out of sheer unawareness or willful malice, many people steal the photographer's intellectual property without permission or any credit.

One such instance happened in 2012 when John (name changed to maintain confidentiality), a photographer, was battling online image theft. It led him to build the platform, wherein artists and photographers upload their portfolios/images and check if someone has used their work anywhere else on the internet.

This platform then performs image matching and searches for similar images from millions on the internet. The challenge here was that the platform was prone to a high level of false-positive and false-negative results, leading to incorrect results and confusion. 

The platform was based on a logistic regression model with a precision of less than 65%. It gave out many incorrect results for the users.

To fix this problem, the client started looking for a solution that measures the exact degree of visual similarity between the images instead of simply classifying the images into positive and negative results.

With the help of the training datasets available, our engineers designed a search engine using computer vision technology to improve the precision of image detection.

The search engine now supports different formats, including JPG, PNG, JPEG, TIFF, WEBP, GIF, and PDF. After successful testing of the final search engine, we deployed it on the cloud on an AWS instance. The engine now has a precision rate of 88%.

>>> Read the full ungated case study here - https://marutitech.com/case-study/build-an-image-search-engine-using-python/

Our client is an award-winning luxury FashionTech startup based out of Paris, France. Empowered with the mission of improving the luxury fashion shopping experience, our client works to redefine the personalized shopping experience and provide exclusive service. 

There is a sheer lack of personal assistance and retail hospitality in the online shopping space of luxury clothing. To solve this problem, our client decided to build a platform that would combine the best of both worlds - the convenience of the online world coupled with the stellar experience of offline luxury shopping. 

The partnership between our client and Maruti Techlabs was incredibly successful. They had a fully functional MVP platform within just six weeks. The MVP validated the founders' idea and gave luxury shoppers a much-needed platform that combines retail hospitality, personal assistance, and convenience. 

By using a no-code approach to build the MVP, our clients could save 60% of the cost over traditional development. An MVP which would have taken up to 12-14 weeks to develop, was shipped in just 6 weeks. This also saved a lot of engineering efforts and time while the client was able to focus on metrics that mattered.

With only 40% of the engineering budget used, our client could route the additional 60% towards launch and user acquisition campaigns. 

With such a powerful start for our client, we look forward to seeing the business soar and create new standards in the world of online luxury shopping. 

>>> Read the full ungated case study here - https://marutitech.com/case-study/ecommerce-mvp-development/

Our client manufactures more than 10,000 premium-quality spare parts for Asian, American, and European vehicles. 

For the smooth functioning of our client, correctly stocking up inventory to meet sales and demand of parts is as important as maintaining the highest manufacturing standards for those parts. The team of our client prepared a mathematical formula to predict the sales cycle of different parts. They used this formula to ensure accurate stocking up of inventory.

As the mathematical formula helped predict the sales cycle, it formed the basis of the most crucial pillars of their business - inventory management, restocking, maintaining the warehouse, and optimizing the shipping process.

Over time, they found that the mathematical formula was not accurately predicting the upcoming demands. It resulted in overstocking & understocking of different parts and, consequently, loss of potential sales and profit.

Predicting sales numbers for newly manufactured parts and parts that were only prototypes was extremely difficult as they had little to no historical data to base our predictions on. To predict sales for new parts/prototypes, we relied on relevant characteristics that the existing parts shared with the prototypes.

The client provided data through their APIs, which resulted in skewed data. It proved to be another significant challenge as it impacted model training greatly. Our team built an API that helped us extract more current data to overcome this. Finally, the model was retrained with the corrected data.

The collaboration has improved the accuracy of predicting the sale of different vehicle parts for our client. Improved forecasting has optimized all avenues of their business - from stocking and restocking to shipment. Inventory tracking and storage allocation have eased to a great extent.

>>> Read the full ungated case study here - https://marutitech.com/case-study/predictive-analytics-in-the-auto-industry/

Our client specializes in delivering fully customized SaaS solutions. They also offer customer service and marketing lead generation support across various business verticals.

Our client, a SaaS solutions provider, works with clients from multiple industries. Their most significant client base is political parties. The company’s 500+ telemarketing agents are appointed to make outbound calls to potential political donors and voters to get them interested in funding their client’s political campaigns.

Making sales pitches on the phone to an answering machine is an unnecessary waste of an agent’s time. If the company could avoid such bootless errands, it could save a lot of money and time in business operations.

Our client was looking to overcome this challenge by building a predictive model that could quickly identify whether the agent was speaking to a human or non-human.

If the call is connected to a non-human, it should disconnect immediately and move on to the next number, so the agent does not waste their time. On the other hand, if a human picks up the call, it is routed to the agent for further conversation.

Our client's existing model for detecting audio inputs was built using Asterisk, an open-source framework for building communications applications.

However, this existing model had an accuracy of 60% after a timeframe of 3 seconds. The client was looking to develop a model that could determine the probability of whether it was a human or a machine on the other side of the phone within one second, with an accuracy of >90%.

To address this, our data scientists developed a Python-based predictive model that could predict audio characteristics with a high success rate. Learn how our predictive model helped our client distinguish between the voice of a human and a non-human and achieve remarkable results.

>>> Read the full ungated case study here - https://marutitech.com/case-study/machine-learning-for-audio-classification/

Medigap Life, a leading online insurance aggregator in Florida, faced challenges with its CRM system, vTiger, due to its inability to handle its large volume of customer data and execute workflows efficiently. 

Maruti Techlabs stepped in to modernize their workflows, dramatically improving performance. SMS campaign execution time was reduced by 87.5%, customer acquisition and retention campaigns now take only an hour instead of 8, and CRM page load times decreased by almost 50%. 

These enhancements enabled Medigap Life to make better-informed decisions and significantly improve operational efficiency. Maruti Techlabs' collaborative approach and technical expertise earned them a glowing 5/5 rating from Medigap Life's CTO, showcasing a successful partnership focused on achieving business goals and future endeavors.

Interested in learning more about how Maruti Techlabs transformed Medigap Life's CRM workflows? 

>>> Read the complete ungated case study here - https://marutitech.com/case-study/vtiger-workflow-optimization/

The client, a unique TRT(placeholder name) clinic in Florida, addressed challenges posed by the conventional clinic-centric model. Limited access, long wait times, and inconvenient appointments hindered patient satisfaction and adherence. 

To overcome these hurdles, the client sought to digitize the entire patient journey, from appointment booking to virtual consultations and medication delivery. Maruti Techlabs collaborated with TRT to leverage technical expertise to develop a comprehensive platform within four months. 

This initiative modernized outdated clinical practices and culminated in a successful website launch. Ongoing support from Maruti Techlabs ensures continued success and enhancement of patient care.

Curious to know how our client transformed their clinic with digital innovation? 

>>> Read the complete ungated case study here - https://marutitech.com/case-study/ehr-software-development/

Our client, a prominent US roadside assistance provider for 15 years, sought to revolutionize service delivery with a mobile app. Challenges included managing 7000+ daily events and coordinating 2 million drivers and 500,000+ service providers. 

The app development process addressed various complexities, including integrating a chatbot module, dedicated call support, and third-party services such as geo-location and online payment gateways. Additionally, formulating an efficient enrollment process for competent service providers was crucial. 

The results from the app's implementation were transformative. Users experienced enhanced convenience, with easy assistance requests, real-time updates, and simplified billing processes. The app's swift response times ensured timely emergency assistance, fostering better coordination and informed decision-making. 

Interested to read more about how our client revolutionized roadside assistance? 

>>> Read the complete ungated case study here - https://marutitech.com/case-study/roadside-assistance-app-development/

The client, a prominent UAE banking group established in 1985, aimed to strengthen security and streamline customer authentication processes. With a diverse range of services and over 1 million customers, they faced challenges identifying fraudulent activities while ensuring efficient service delivery. 

Maruti Techlabs developed a voice recognition system to address these challenges, significantly improving operational efficiency and customer satisfaction. 

The implementation led to a 36% increase in first-call resolution and a 52% enhancement in customer satisfaction scores. By simplifying authentication procedures and introducing personalized interactions, the solution optimized customer service and strengthened anti-fraud measures, showcasing the bank's commitment to enhancing the overall customer experience.

Keen to explore how voice authentication revolutionized banking security and customer experience? 

>>> Read the complete ungated case study here - https://marutitech.com/case-study/fraud-detection-voice-biometrics/